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1Firefighter Turnout Coat Configurations: Performance Data For Acquisition Decisions

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2Data For Decisions : Information Strategies For Policymakers

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  • Title: ➤  Data For Decisions : Information Strategies For Policymakers
  • Language: English

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3NASA Technical Reports Server (NTRS) 19670000478: KOPE /Kalendar Oriented Program Efforts/ Provides Data For Management Decisions

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KOPE /Kalendar Oriented Program Efforts/ is a computer program that establishes control over project efforts to assure management of meeting a specified completion date. With the appropriate input data, KOPE computes the starting and completion dates, the manning level for each activity, and the composite manning level for the program.

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4Optimizing Data Collection For Public Health Decisions: A Data Mining Approach.

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This article is from BMC Public Health , volume 14 . Abstract Background: Collecting data can be cumbersome and expensive. Lack of relevant, accurate and timely data for research to inform policy may negatively impact public health. The aim of this study was to test if the careful removal of items from two community nutrition surveys guided by a data mining technique called feature selection, can (a) identify a reduced dataset, while (b) not damaging the signal inside that data. Methods: The Nutrition Environment Measures Surveys for stores (NEMS-S) and restaurants (NEMS-R) were completed on 885 retail food outlets in two counties in West Virginia between May and November of 2011. A reduced dataset was identified for each outlet type using feature selection. Coefficients from linear regression modeling were used to weight items in the reduced datasets. Weighted item values were summed with the error term to compute reduced item survey scores. Scores produced by the full survey were compared to the reduced item scores using a Wilcoxon rank-sum test. Results: Feature selection identified 9 store and 16 restaurant survey items as significant predictors of the score produced from the full survey. The linear regression models built from the reduced feature sets had R2 values of 92% and 94% for restaurant and grocery store data, respectively. Conclusions: While there are many potentially important variables in any domain, the most useful set may only be a small subset. The use of feature selection in the initial phase of data collection to identify the most influential variables may be a useful tool to greatly reduce the amount of data needed thereby reducing cost.

“Optimizing Data Collection For Public Health Decisions: A Data Mining Approach.” Metadata:

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5Statistics Informed Decisions Using Data Custom Edition For Broome Community College

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This article is from BMC Public Health , volume 14 . Abstract Background: Collecting data can be cumbersome and expensive. Lack of relevant, accurate and timely data for research to inform policy may negatively impact public health. The aim of this study was to test if the careful removal of items from two community nutrition surveys guided by a data mining technique called feature selection, can (a) identify a reduced dataset, while (b) not damaging the signal inside that data. Methods: The Nutrition Environment Measures Surveys for stores (NEMS-S) and restaurants (NEMS-R) were completed on 885 retail food outlets in two counties in West Virginia between May and November of 2011. A reduced dataset was identified for each outlet type using feature selection. Coefficients from linear regression modeling were used to weight items in the reduced datasets. Weighted item values were summed with the error term to compute reduced item survey scores. Scores produced by the full survey were compared to the reduced item scores using a Wilcoxon rank-sum test. Results: Feature selection identified 9 store and 16 restaurant survey items as significant predictors of the score produced from the full survey. The linear regression models built from the reduced feature sets had R2 values of 92% and 94% for restaurant and grocery store data, respectively. Conclusions: While there are many potentially important variables in any domain, the most useful set may only be a small subset. The use of feature selection in the initial phase of data collection to identify the most influential variables may be a useful tool to greatly reduce the amount of data needed thereby reducing cost.

“Statistics Informed Decisions Using Data Custom Edition For Broome Community College” Metadata:

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6ERIC ED598223: Critical Thinking In Education: The Case In Palestine Knowledge And Skills Are The Central Themes Of An Education System. Nowadays, The Main Focus In On Skills Generally And On Thinking Skills Specifically. The Principle Adapted Currently Is That Education Is Not Just Transferring Knowledge To Learners Or Students But Rather It Is A Process That Is Also Directly Related With The Cognitive, Emotional And Artistic Aspects. Cognition Refers To Reasoning And Thinking Skills In Education. In This Context, Thinking Skills And Specifically Critical Thinking Is To Be Considered In Curriculum Development Process. The Critical Thinking Helps The Learners To Express Their Opinions On The Scientific Or Social Issues, Making Decisions, Constructing Plans And Solving Their Problems. This Study Aims To Determine The Impact Of Utilizing Critical Thinking Skills In Education. In Fact, Educators Believe That Critical Thinking Is Important Because Criticism Leads To Creativity, Criticism And Creativity. The Results Of This Process Will Help Problem Solving, Innovation And Development. But The Challenge Here Is How Learners Can Have The Required Critical Thinking Skills. The Role Of The Teacher In Developing The Skills Of Critical Thinking Is Another Challenge. The Data For This Qualitative Research Was Collected With The Help Of Face To Face Interview, Focus Group Discussion With Participation Of 8 Teachers Of Science And Religion For The Intermediate Stage In Palestine During 2018-2019. The Data Were Analyzed And The Findings Were Given Under Subtitles.

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Knowledge and skills are the central themes of an education system. Nowadays, the main focus in on skills generally and on thinking skills specifically. The principle adapted currently is that education is not just transferring knowledge to learners or students but rather it is a process that is also directly related with the cognitive, emotional and artistic aspects. Cognition refers to reasoning and thinking skills in education. In this context, thinking skills and specifically critical thinking is to be considered in curriculum development process. The critical thinking helps the learners to express their opinions on the scientific or social issues, making decisions, constructing plans and solving their problems. This study aims to determine the impact of utilizing critical thinking skills in education. In fact, educators believe that critical thinking is important because criticism leads to creativity, criticism and creativity. The results of this process will help problem solving, innovation and development. But the challenge here is how learners can have the required critical thinking skills. The role of the teacher in developing the skills of critical thinking is another challenge. The data for this qualitative research was collected with the help of face to face interview, focus group discussion with participation of 8 teachers of Science and Religion for the intermediate stage in Palestine during 2018-2019. The data were analyzed and the findings were given under subtitles.

“ERIC ED598223: Critical Thinking In Education: The Case In Palestine Knowledge And Skills Are The Central Themes Of An Education System. Nowadays, The Main Focus In On Skills Generally And On Thinking Skills Specifically. The Principle Adapted Currently Is That Education Is Not Just Transferring Knowledge To Learners Or Students But Rather It Is A Process That Is Also Directly Related With The Cognitive, Emotional And Artistic Aspects. Cognition Refers To Reasoning And Thinking Skills In Education. In This Context, Thinking Skills And Specifically Critical Thinking Is To Be Considered In Curriculum Development Process. The Critical Thinking Helps The Learners To Express Their Opinions On The Scientific Or Social Issues, Making Decisions, Constructing Plans And Solving Their Problems. This Study Aims To Determine The Impact Of Utilizing Critical Thinking Skills In Education. In Fact, Educators Believe That Critical Thinking Is Important Because Criticism Leads To Creativity, Criticism And Creativity. The Results Of This Process Will Help Problem Solving, Innovation And Development. But The Challenge Here Is How Learners Can Have The Required Critical Thinking Skills. The Role Of The Teacher In Developing The Skills Of Critical Thinking Is Another Challenge. The Data For This Qualitative Research Was Collected With The Help Of Face To Face Interview, Focus Group Discussion With Participation Of 8 Teachers Of Science And Religion For The Intermediate Stage In Palestine During 2018-2019. The Data Were Analyzed And The Findings Were Given Under Subtitles.” Metadata:

  • Title: ➤  ERIC ED598223: Critical Thinking In Education: The Case In Palestine Knowledge And Skills Are The Central Themes Of An Education System. Nowadays, The Main Focus In On Skills Generally And On Thinking Skills Specifically. The Principle Adapted Currently Is That Education Is Not Just Transferring Knowledge To Learners Or Students But Rather It Is A Process That Is Also Directly Related With The Cognitive, Emotional And Artistic Aspects. Cognition Refers To Reasoning And Thinking Skills In Education. In This Context, Thinking Skills And Specifically Critical Thinking Is To Be Considered In Curriculum Development Process. The Critical Thinking Helps The Learners To Express Their Opinions On The Scientific Or Social Issues, Making Decisions, Constructing Plans And Solving Their Problems. This Study Aims To Determine The Impact Of Utilizing Critical Thinking Skills In Education. In Fact, Educators Believe That Critical Thinking Is Important Because Criticism Leads To Creativity, Criticism And Creativity. The Results Of This Process Will Help Problem Solving, Innovation And Development. But The Challenge Here Is How Learners Can Have The Required Critical Thinking Skills. The Role Of The Teacher In Developing The Skills Of Critical Thinking Is Another Challenge. The Data For This Qualitative Research Was Collected With The Help Of Face To Face Interview, Focus Group Discussion With Participation Of 8 Teachers Of Science And Religion For The Intermediate Stage In Palestine During 2018-2019. The Data Were Analyzed And The Findings Were Given Under Subtitles.
  • Author:
  • Language: English

“ERIC ED598223: Critical Thinking In Education: The Case In Palestine Knowledge And Skills Are The Central Themes Of An Education System. Nowadays, The Main Focus In On Skills Generally And On Thinking Skills Specifically. The Principle Adapted Currently Is That Education Is Not Just Transferring Knowledge To Learners Or Students But Rather It Is A Process That Is Also Directly Related With The Cognitive, Emotional And Artistic Aspects. Cognition Refers To Reasoning And Thinking Skills In Education. In This Context, Thinking Skills And Specifically Critical Thinking Is To Be Considered In Curriculum Development Process. The Critical Thinking Helps The Learners To Express Their Opinions On The Scientific Or Social Issues, Making Decisions, Constructing Plans And Solving Their Problems. This Study Aims To Determine The Impact Of Utilizing Critical Thinking Skills In Education. In Fact, Educators Believe That Critical Thinking Is Important Because Criticism Leads To Creativity, Criticism And Creativity. The Results Of This Process Will Help Problem Solving, Innovation And Development. But The Challenge Here Is How Learners Can Have The Required Critical Thinking Skills. The Role Of The Teacher In Developing The Skills Of Critical Thinking Is Another Challenge. The Data For This Qualitative Research Was Collected With The Help Of Face To Face Interview, Focus Group Discussion With Participation Of 8 Teachers Of Science And Religion For The Intermediate Stage In Palestine During 2018-2019. The Data Were Analyzed And The Findings Were Given Under Subtitles.” Subjects and Themes:

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7Student Solutions Manual For Moore, McCabe, Duckworth, And Alwan's The Practice Of Business Statistics : [using Data For Decisions], Second Edition

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  • Title: ➤  Student Solutions Manual For Moore, McCabe, Duckworth, And Alwan's The Practice Of Business Statistics : [using Data For Decisions], Second Edition
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  • Language: English

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The book is available for download in "texts" format, the size of the file-s is: 535.39 Mbs, the file-s for this book were downloaded 80 times, the file-s went public at Wed Jan 22 2020.

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8ERIC ED543109: Improving College Choice: Helping Students And Parents Make Better Informed Decisions. Data For Action 2012

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As the demand for college graduates increases, it is critical (from both supply and demand perspectives) that students choose the postsecondary option that best meets their needs. Improved college readiness is an important first step to better informed choices about college. Parents and students need access to easy-to-understand data to make the best choice possible. This brief paper provides information that can help parents and students make better college choice. (Contains 1 footnote and 5 resources.)

“ERIC ED543109: Improving College Choice: Helping Students And Parents Make Better Informed Decisions. Data For Action 2012” Metadata:

  • Title: ➤  ERIC ED543109: Improving College Choice: Helping Students And Parents Make Better Informed Decisions. Data For Action 2012
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  • Language: English

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9ERIC ED109080: Evaluation Materials For Resource Allocation Decisions Based Upon Data Derived From Participants' Evaluation Of Inservice Teacher Workshops. D. O. E. S. Report No. 1.

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This publication consists of materials that can be used to evaluate teacher inservice workshops in terms of participant reactions. An evaluation form is completed by workshop participants, and summary scores are tallied. The publication consists of (a) an introduction, (b) the participants' evaluation of inservice teacher workshops form, (c) tally directions for this form, (d) tally scoring sheets for this form, (e) summary scoring sheets for this form, (f) analysis, and (g) a summary page for this form. The scores measure the relative effectiveness of the workshop in the following areas: overall effectiveness, effectiveness of workshop objectives and needs analysis, effectiveness of workshop resources and activities, and effectiveness of the workshop's practical applications. (JS)

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  • Title: ➤  ERIC ED109080: Evaluation Materials For Resource Allocation Decisions Based Upon Data Derived From Participants' Evaluation Of Inservice Teacher Workshops. D. O. E. S. Report No. 1.
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  • Language: English

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The book is available for download in "texts" format, the size of the file-s is: 12.33 Mbs, the file-s for this book were downloaded 65 times, the file-s went public at Mon May 25 2015.

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10Bioinformatics, Museums, And Society : Integrating Biological Data For Knowledge-based Decisions

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This publication consists of materials that can be used to evaluate teacher inservice workshops in terms of participant reactions. An evaluation form is completed by workshop participants, and summary scores are tallied. The publication consists of (a) an introduction, (b) the participants' evaluation of inservice teacher workshops form, (c) tally directions for this form, (d) tally scoring sheets for this form, (e) summary scoring sheets for this form, (f) analysis, and (g) a summary page for this form. The scores measure the relative effectiveness of the workshop in the following areas: overall effectiveness, effectiveness of workshop objectives and needs analysis, effectiveness of workshop resources and activities, and effectiveness of the workshop's practical applications. (JS)

“Bioinformatics, Museums, And Society : Integrating Biological Data For Knowledge-based Decisions” Metadata:

  • Title: ➤  Bioinformatics, Museums, And Society : Integrating Biological Data For Knowledge-based Decisions
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  • Language: English

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The book is available for download in "texts" format, the size of the file-s is: 4.84 Mbs, the file-s for this book were downloaded 390 times, the file-s went public at Tue Dec 19 2017.

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11ERIC ED586232: Later School Start Times For Supporting The Education, Health, And Well-Being Of High School Students: A Systematic Review. Campbell Systematic Reviews 2017:15 Background: A Number Of School Systems Worldwide Have Proposed And Implemented Later School Start Times As A Means Of Avoiding The Potentially Negative Impacts That Early Morning Schedules Can Have On Adolescent Students. Even Mild Sleep Deprivation Has Been Associated With Significant Health And Educational Concerns: Increased Risk For Accidents And Injuries, Impaired Learning, Aggression, Memory Loss, Poor Self-esteem, And Changes In Metabolism. Although Researchers Have Begun To Explore The Effects Of Delayed School Start Time, No One Has Conducted A Rigorous Review Of Evidence To Determine Whether Later School Start Times Support Adolescent Health, Education, And Well-being. Objectives: We Aimed To Assess The Effects Of A Later School Start Time For Supporting Health, Education, And Well-being In High School Students. Secondary Objectives Were To Explore Possible Differential Effects Of Later School Start Times In Student Subgroups And In Different Types Of Schools; To Identify Implementation Practices, Contextual Factors, And Delivery Modes Associated With Positive And Negative Effects Of Later Start Times; And To Assess The Effects Of Later School Start Times On The Broader Community (high School Faculty And Staff, Neighborhood, And Families). Search Methods: We Conducted The Main Search For This Review On 28 October 2014 And Updated It On 8 February 2016. We Searched CENTRAL As Well As 17 Key Electronic Databases (including MEDLINE, Embase, ERIC, PsycINFO, And Sociological Abstracts), Current Editions Of Relevant Journals And Organizational Websites, Trial Registries, And Google Scholar. Selection Criteria: We Included Any Randomized Controlled Trials, Controlled Before-and-after Studies, And Interrupted Time Series Studies With Sufficient Data Points That Pertained To Students Aged 13 To 19 Years And That Compared Different School Start Times. Studies That Reported Either Primary Outcomes Of Interest (academic Outcomes, Amount Or Quality Of Sleep, Mental Health Indicators, Attendance, Or Alertness) Or Secondary Outcomes (health Behaviors, Health And Safety Indicators, Social Outcomes, Family Outcomes, School Outcomes, Or Community Outcomes) Were Eligible. Data Collection And Analysis: At Least Two Review Authors Independently Determined Inclusion And Exclusion Decisions Through Screening Titles, Abstracts, And Full-text Reports. Two Review Authors Independently Extracted Data For All Eligible Studies. We Presented Findings Through A Narrative Synthesis Across All Studies. When Two Or More Study Samples Provided Sufficient Information To Permit Effect Size Calculations, We Conducted Random-effects Meta-analyses To Synthesize Effects Across Studies. Results: Our Search Located 17 Eligible Records Reporting On 11 Unique Studies With 297,994 Participants; The Studies Examined Academic Outcomes, Amount And Quality Of Sleep, Mental Health Indicators, Attendance, And Student Alertness. Overall, The Quality Of The Body Of Evidence Was Very Low, As We Rated Most Studies As Being At High Or Unclear Risk Of Bias With Respect To Allocation, Attrition, Absence Of Randomization, And The Collection Of Baseline Data. Therefore, We Cannot Be Confident About The Effects Of Later School Start Times. Preliminary Evidence From The Included Studies Indicated A Potential Association Between Later School Start Times And Academic And Psychosocial Outcomes, But Quality And Comparability Of These Data Were Low And Often Precluded Quantitative Synthesis. Four Studies Examined The Association Between Later School Start Times And Academic Outcomes, Reporting Mixed Results. Six Studies Examined Effects On Total Amount Of Sleep And Reported Significant, Positive Relationships Between Later School Start Times And Amount Of Sleep. One Study Provided Information Concerning Mental Health Outcomes, Reporting An Association Between Decreased Depressive Symptoms And Later School Start Times. There Were Mixed Results For The Association Between Later School Start Times And Absenteeism. Three Studies Reported Mixed Results Concerning The Association Between Later School Start Times And Student Alertness. There Was Limited Indication Of Potential Adverse Effects On Logistics, As The Qualitative Portions Of One Study Reported Less Interaction Between Parents And Children, And Another Reported Staffing And Scheduling Difficulties. Because Of The Insufficient Evidence, We Cannot Draw Firm Conclusions Concerning Adverse Effects At This Time. It Is Important To Note The Limitations Of This Evidence, Especially As Randomized Controlled Trials And High-quality Primary Studies Are Difficult To Conduct; School Systems Are Often Unwilling Or Unable To Allow Researchers The Necessary Control Over Scheduling And Data Collection. Moreover, This Evidence Does Not Speak To The Process Of Implementing Later School Starts, As The Included Studies Focused On Reporting The Effects Rather Than Exploring The Process. Authors' Conclusions: This Systematic Review On Later School Start Times Suggests Several Potential Benefits For This Intervention And Points To The Need For Higher Quality Primary Studies. However, As A Result Of The Limited Evidence Base, We Could Not Determine The Effects Of Later School Start Times With Any Confidence. [Additional Funding Was Provided By: (1) Department Of Public Health Sciences, Canada; And (2) Canadian Institutes Of Health Research And The Population Health Intervention Research Network, Canada.]

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Background: A number of school systems worldwide have proposed and implemented later school start times as a means of avoiding the potentially negative impacts that early morning schedules can have on adolescent students. Even mild sleep deprivation has been associated with significant health and educational concerns: increased risk for accidents and injuries, impaired learning, aggression, memory loss, poor self-esteem, and changes in metabolism. Although researchers have begun to explore the effects of delayed school start time, no one has conducted a rigorous review of evidence to determine whether later school start times support adolescent health, education, and well-being. Objectives: We aimed to assess the effects of a later school start time for supporting health, education, and well-being in high school students. Secondary objectives were to explore possible differential effects of later school start times in student subgroups and in different types of schools; to identify implementation practices, contextual factors, and delivery modes associated with positive and negative effects of later start times; and to assess the effects of later school start times on the broader community (high school faculty and staff, neighborhood, and families). Search methods: We conducted the main search for this review on 28 October 2014 and updated it on 8 February 2016. We searched CENTRAL as well as 17 key electronic databases (including MEDLINE, Embase, ERIC, PsycINFO, and Sociological Abstracts), current editions of relevant journals and organizational websites, trial registries, and Google Scholar. Selection criteria: We included any randomized controlled trials, controlled before-and-after studies, and interrupted time series studies with sufficient data points that pertained to students aged 13 to 19 years and that compared different school start times. Studies that reported either primary outcomes of interest (academic outcomes, amount or quality of sleep, mental health indicators, attendance, or alertness) or secondary outcomes (health behaviors, health and safety indicators, social outcomes, family outcomes, school outcomes, or community outcomes) were eligible. Data collection and analysis: At least two review authors independently determined inclusion and exclusion decisions through screening titles, abstracts, and full-text reports. Two review authors independently extracted data for all eligible studies. We presented findings through a narrative synthesis across all studies. When two or more study samples provided sufficient information to permit effect size calculations, we conducted random-effects meta-analyses to synthesize effects across studies. Results: Our search located 17 eligible records reporting on 11 unique studies with 297,994 participants; the studies examined academic outcomes, amount and quality of sleep, mental health indicators, attendance, and student alertness. Overall, the quality of the body of evidence was very low, as we rated most studies as being at high or unclear risk of bias with respect to allocation, attrition, absence of randomization, and the collection of baseline data. Therefore, we cannot be confident about the effects of later school start times. Preliminary evidence from the included studies indicated a potential association between later school start times and academic and psychosocial outcomes, but quality and comparability of these data were low and often precluded quantitative synthesis. Four studies examined the association between later school start times and academic outcomes, reporting mixed results. Six studies examined effects on total amount of sleep and reported significant, positive relationships between later school start times and amount of sleep. One study provided information concerning mental health outcomes, reporting an association between decreased depressive symptoms and later school start times. There were mixed results for the association between later school start times and absenteeism. Three studies reported mixed results concerning the association between later school start times and student alertness. There was limited indication of potential adverse effects on logistics, as the qualitative portions of one study reported less interaction between parents and children, and another reported staffing and scheduling difficulties. Because of the insufficient evidence, we cannot draw firm conclusions concerning adverse effects at this time. It is important to note the limitations of this evidence, especially as randomized controlled trials and high-quality primary studies are difficult to conduct; school systems are often unwilling or unable to allow researchers the necessary control over scheduling and data collection. Moreover, this evidence does not speak to the process of implementing later school starts, as the included studies focused on reporting the effects rather than exploring the process. Authors' conclusions: This systematic review on later school start times suggests several potential benefits for this intervention and points to the need for higher quality primary studies. However, as a result of the limited evidence base, we could not determine the effects of later school start times with any confidence. [Additional funding was provided by: (1) Department of Public Health Sciences, Canada; and (2) Canadian Institutes of Health Research and the Population Health Intervention Research Network, Canada.]

“ERIC ED586232: Later School Start Times For Supporting The Education, Health, And Well-Being Of High School Students: A Systematic Review. Campbell Systematic Reviews 2017:15 Background: A Number Of School Systems Worldwide Have Proposed And Implemented Later School Start Times As A Means Of Avoiding The Potentially Negative Impacts That Early Morning Schedules Can Have On Adolescent Students. Even Mild Sleep Deprivation Has Been Associated With Significant Health And Educational Concerns: Increased Risk For Accidents And Injuries, Impaired Learning, Aggression, Memory Loss, Poor Self-esteem, And Changes In Metabolism. Although Researchers Have Begun To Explore The Effects Of Delayed School Start Time, No One Has Conducted A Rigorous Review Of Evidence To Determine Whether Later School Start Times Support Adolescent Health, Education, And Well-being. Objectives: We Aimed To Assess The Effects Of A Later School Start Time For Supporting Health, Education, And Well-being In High School Students. Secondary Objectives Were To Explore Possible Differential Effects Of Later School Start Times In Student Subgroups And In Different Types Of Schools; To Identify Implementation Practices, Contextual Factors, And Delivery Modes Associated With Positive And Negative Effects Of Later Start Times; And To Assess The Effects Of Later School Start Times On The Broader Community (high School Faculty And Staff, Neighborhood, And Families). Search Methods: We Conducted The Main Search For This Review On 28 October 2014 And Updated It On 8 February 2016. We Searched CENTRAL As Well As 17 Key Electronic Databases (including MEDLINE, Embase, ERIC, PsycINFO, And Sociological Abstracts), Current Editions Of Relevant Journals And Organizational Websites, Trial Registries, And Google Scholar. Selection Criteria: We Included Any Randomized Controlled Trials, Controlled Before-and-after Studies, And Interrupted Time Series Studies With Sufficient Data Points That Pertained To Students Aged 13 To 19 Years And That Compared Different School Start Times. Studies That Reported Either Primary Outcomes Of Interest (academic Outcomes, Amount Or Quality Of Sleep, Mental Health Indicators, Attendance, Or Alertness) Or Secondary Outcomes (health Behaviors, Health And Safety Indicators, Social Outcomes, Family Outcomes, School Outcomes, Or Community Outcomes) Were Eligible. Data Collection And Analysis: At Least Two Review Authors Independently Determined Inclusion And Exclusion Decisions Through Screening Titles, Abstracts, And Full-text Reports. Two Review Authors Independently Extracted Data For All Eligible Studies. We Presented Findings Through A Narrative Synthesis Across All Studies. When Two Or More Study Samples Provided Sufficient Information To Permit Effect Size Calculations, We Conducted Random-effects Meta-analyses To Synthesize Effects Across Studies. Results: Our Search Located 17 Eligible Records Reporting On 11 Unique Studies With 297,994 Participants; The Studies Examined Academic Outcomes, Amount And Quality Of Sleep, Mental Health Indicators, Attendance, And Student Alertness. Overall, The Quality Of The Body Of Evidence Was Very Low, As We Rated Most Studies As Being At High Or Unclear Risk Of Bias With Respect To Allocation, Attrition, Absence Of Randomization, And The Collection Of Baseline Data. Therefore, We Cannot Be Confident About The Effects Of Later School Start Times. Preliminary Evidence From The Included Studies Indicated A Potential Association Between Later School Start Times And Academic And Psychosocial Outcomes, But Quality And Comparability Of These Data Were Low And Often Precluded Quantitative Synthesis. Four Studies Examined The Association Between Later School Start Times And Academic Outcomes, Reporting Mixed Results. Six Studies Examined Effects On Total Amount Of Sleep And Reported Significant, Positive Relationships Between Later School Start Times And Amount Of Sleep. One Study Provided Information Concerning Mental Health Outcomes, Reporting An Association Between Decreased Depressive Symptoms And Later School Start Times. There Were Mixed Results For The Association Between Later School Start Times And Absenteeism. Three Studies Reported Mixed Results Concerning The Association Between Later School Start Times And Student Alertness. There Was Limited Indication Of Potential Adverse Effects On Logistics, As The Qualitative Portions Of One Study Reported Less Interaction Between Parents And Children, And Another Reported Staffing And Scheduling Difficulties. Because Of The Insufficient Evidence, We Cannot Draw Firm Conclusions Concerning Adverse Effects At This Time. It Is Important To Note The Limitations Of This Evidence, Especially As Randomized Controlled Trials And High-quality Primary Studies Are Difficult To Conduct; School Systems Are Often Unwilling Or Unable To Allow Researchers The Necessary Control Over Scheduling And Data Collection. Moreover, This Evidence Does Not Speak To The Process Of Implementing Later School Starts, As The Included Studies Focused On Reporting The Effects Rather Than Exploring The Process. Authors' Conclusions: This Systematic Review On Later School Start Times Suggests Several Potential Benefits For This Intervention And Points To The Need For Higher Quality Primary Studies. However, As A Result Of The Limited Evidence Base, We Could Not Determine The Effects Of Later School Start Times With Any Confidence. [Additional Funding Was Provided By: (1) Department Of Public Health Sciences, Canada; And (2) Canadian Institutes Of Health Research And The Population Health Intervention Research Network, Canada.]” Metadata:

  • Title: ➤  ERIC ED586232: Later School Start Times For Supporting The Education, Health, And Well-Being Of High School Students: A Systematic Review. Campbell Systematic Reviews 2017:15 Background: A Number Of School Systems Worldwide Have Proposed And Implemented Later School Start Times As A Means Of Avoiding The Potentially Negative Impacts That Early Morning Schedules Can Have On Adolescent Students. Even Mild Sleep Deprivation Has Been Associated With Significant Health And Educational Concerns: Increased Risk For Accidents And Injuries, Impaired Learning, Aggression, Memory Loss, Poor Self-esteem, And Changes In Metabolism. Although Researchers Have Begun To Explore The Effects Of Delayed School Start Time, No One Has Conducted A Rigorous Review Of Evidence To Determine Whether Later School Start Times Support Adolescent Health, Education, And Well-being. Objectives: We Aimed To Assess The Effects Of A Later School Start Time For Supporting Health, Education, And Well-being In High School Students. Secondary Objectives Were To Explore Possible Differential Effects Of Later School Start Times In Student Subgroups And In Different Types Of Schools; To Identify Implementation Practices, Contextual Factors, And Delivery Modes Associated With Positive And Negative Effects Of Later Start Times; And To Assess The Effects Of Later School Start Times On The Broader Community (high School Faculty And Staff, Neighborhood, And Families). Search Methods: We Conducted The Main Search For This Review On 28 October 2014 And Updated It On 8 February 2016. We Searched CENTRAL As Well As 17 Key Electronic Databases (including MEDLINE, Embase, ERIC, PsycINFO, And Sociological Abstracts), Current Editions Of Relevant Journals And Organizational Websites, Trial Registries, And Google Scholar. Selection Criteria: We Included Any Randomized Controlled Trials, Controlled Before-and-after Studies, And Interrupted Time Series Studies With Sufficient Data Points That Pertained To Students Aged 13 To 19 Years And That Compared Different School Start Times. Studies That Reported Either Primary Outcomes Of Interest (academic Outcomes, Amount Or Quality Of Sleep, Mental Health Indicators, Attendance, Or Alertness) Or Secondary Outcomes (health Behaviors, Health And Safety Indicators, Social Outcomes, Family Outcomes, School Outcomes, Or Community Outcomes) Were Eligible. Data Collection And Analysis: At Least Two Review Authors Independently Determined Inclusion And Exclusion Decisions Through Screening Titles, Abstracts, And Full-text Reports. Two Review Authors Independently Extracted Data For All Eligible Studies. We Presented Findings Through A Narrative Synthesis Across All Studies. When Two Or More Study Samples Provided Sufficient Information To Permit Effect Size Calculations, We Conducted Random-effects Meta-analyses To Synthesize Effects Across Studies. Results: Our Search Located 17 Eligible Records Reporting On 11 Unique Studies With 297,994 Participants; The Studies Examined Academic Outcomes, Amount And Quality Of Sleep, Mental Health Indicators, Attendance, And Student Alertness. Overall, The Quality Of The Body Of Evidence Was Very Low, As We Rated Most Studies As Being At High Or Unclear Risk Of Bias With Respect To Allocation, Attrition, Absence Of Randomization, And The Collection Of Baseline Data. Therefore, We Cannot Be Confident About The Effects Of Later School Start Times. Preliminary Evidence From The Included Studies Indicated A Potential Association Between Later School Start Times And Academic And Psychosocial Outcomes, But Quality And Comparability Of These Data Were Low And Often Precluded Quantitative Synthesis. Four Studies Examined The Association Between Later School Start Times And Academic Outcomes, Reporting Mixed Results. Six Studies Examined Effects On Total Amount Of Sleep And Reported Significant, Positive Relationships Between Later School Start Times And Amount Of Sleep. One Study Provided Information Concerning Mental Health Outcomes, Reporting An Association Between Decreased Depressive Symptoms And Later School Start Times. There Were Mixed Results For The Association Between Later School Start Times And Absenteeism. Three Studies Reported Mixed Results Concerning The Association Between Later School Start Times And Student Alertness. There Was Limited Indication Of Potential Adverse Effects On Logistics, As The Qualitative Portions Of One Study Reported Less Interaction Between Parents And Children, And Another Reported Staffing And Scheduling Difficulties. Because Of The Insufficient Evidence, We Cannot Draw Firm Conclusions Concerning Adverse Effects At This Time. It Is Important To Note The Limitations Of This Evidence, Especially As Randomized Controlled Trials And High-quality Primary Studies Are Difficult To Conduct; School Systems Are Often Unwilling Or Unable To Allow Researchers The Necessary Control Over Scheduling And Data Collection. Moreover, This Evidence Does Not Speak To The Process Of Implementing Later School Starts, As The Included Studies Focused On Reporting The Effects Rather Than Exploring The Process. Authors' Conclusions: This Systematic Review On Later School Start Times Suggests Several Potential Benefits For This Intervention And Points To The Need For Higher Quality Primary Studies. However, As A Result Of The Limited Evidence Base, We Could Not Determine The Effects Of Later School Start Times With Any Confidence. [Additional Funding Was Provided By: (1) Department Of Public Health Sciences, Canada; And (2) Canadian Institutes Of Health Research And The Population Health Intervention Research Network, Canada.]
  • Author:
  • Language: English

“ERIC ED586232: Later School Start Times For Supporting The Education, Health, And Well-Being Of High School Students: A Systematic Review. Campbell Systematic Reviews 2017:15 Background: A Number Of School Systems Worldwide Have Proposed And Implemented Later School Start Times As A Means Of Avoiding The Potentially Negative Impacts That Early Morning Schedules Can Have On Adolescent Students. Even Mild Sleep Deprivation Has Been Associated With Significant Health And Educational Concerns: Increased Risk For Accidents And Injuries, Impaired Learning, Aggression, Memory Loss, Poor Self-esteem, And Changes In Metabolism. Although Researchers Have Begun To Explore The Effects Of Delayed School Start Time, No One Has Conducted A Rigorous Review Of Evidence To Determine Whether Later School Start Times Support Adolescent Health, Education, And Well-being. Objectives: We Aimed To Assess The Effects Of A Later School Start Time For Supporting Health, Education, And Well-being In High School Students. Secondary Objectives Were To Explore Possible Differential Effects Of Later School Start Times In Student Subgroups And In Different Types Of Schools; To Identify Implementation Practices, Contextual Factors, And Delivery Modes Associated With Positive And Negative Effects Of Later Start Times; And To Assess The Effects Of Later School Start Times On The Broader Community (high School Faculty And Staff, Neighborhood, And Families). Search Methods: We Conducted The Main Search For This Review On 28 October 2014 And Updated It On 8 February 2016. We Searched CENTRAL As Well As 17 Key Electronic Databases (including MEDLINE, Embase, ERIC, PsycINFO, And Sociological Abstracts), Current Editions Of Relevant Journals And Organizational Websites, Trial Registries, And Google Scholar. Selection Criteria: We Included Any Randomized Controlled Trials, Controlled Before-and-after Studies, And Interrupted Time Series Studies With Sufficient Data Points That Pertained To Students Aged 13 To 19 Years And That Compared Different School Start Times. Studies That Reported Either Primary Outcomes Of Interest (academic Outcomes, Amount Or Quality Of Sleep, Mental Health Indicators, Attendance, Or Alertness) Or Secondary Outcomes (health Behaviors, Health And Safety Indicators, Social Outcomes, Family Outcomes, School Outcomes, Or Community Outcomes) Were Eligible. Data Collection And Analysis: At Least Two Review Authors Independently Determined Inclusion And Exclusion Decisions Through Screening Titles, Abstracts, And Full-text Reports. Two Review Authors Independently Extracted Data For All Eligible Studies. We Presented Findings Through A Narrative Synthesis Across All Studies. When Two Or More Study Samples Provided Sufficient Information To Permit Effect Size Calculations, We Conducted Random-effects Meta-analyses To Synthesize Effects Across Studies. Results: Our Search Located 17 Eligible Records Reporting On 11 Unique Studies With 297,994 Participants; The Studies Examined Academic Outcomes, Amount And Quality Of Sleep, Mental Health Indicators, Attendance, And Student Alertness. Overall, The Quality Of The Body Of Evidence Was Very Low, As We Rated Most Studies As Being At High Or Unclear Risk Of Bias With Respect To Allocation, Attrition, Absence Of Randomization, And The Collection Of Baseline Data. Therefore, We Cannot Be Confident About The Effects Of Later School Start Times. Preliminary Evidence From The Included Studies Indicated A Potential Association Between Later School Start Times And Academic And Psychosocial Outcomes, But Quality And Comparability Of These Data Were Low And Often Precluded Quantitative Synthesis. Four Studies Examined The Association Between Later School Start Times And Academic Outcomes, Reporting Mixed Results. Six Studies Examined Effects On Total Amount Of Sleep And Reported Significant, Positive Relationships Between Later School Start Times And Amount Of Sleep. One Study Provided Information Concerning Mental Health Outcomes, Reporting An Association Between Decreased Depressive Symptoms And Later School Start Times. There Were Mixed Results For The Association Between Later School Start Times And Absenteeism. Three Studies Reported Mixed Results Concerning The Association Between Later School Start Times And Student Alertness. There Was Limited Indication Of Potential Adverse Effects On Logistics, As The Qualitative Portions Of One Study Reported Less Interaction Between Parents And Children, And Another Reported Staffing And Scheduling Difficulties. Because Of The Insufficient Evidence, We Cannot Draw Firm Conclusions Concerning Adverse Effects At This Time. It Is Important To Note The Limitations Of This Evidence, Especially As Randomized Controlled Trials And High-quality Primary Studies Are Difficult To Conduct; School Systems Are Often Unwilling Or Unable To Allow Researchers The Necessary Control Over Scheduling And Data Collection. Moreover, This Evidence Does Not Speak To The Process Of Implementing Later School Starts, As The Included Studies Focused On Reporting The Effects Rather Than Exploring The Process. Authors' Conclusions: This Systematic Review On Later School Start Times Suggests Several Potential Benefits For This Intervention And Points To The Need For Higher Quality Primary Studies. However, As A Result Of The Limited Evidence Base, We Could Not Determine The Effects Of Later School Start Times With Any Confidence. [Additional Funding Was Provided By: (1) Department Of Public Health Sciences, Canada; And (2) Canadian Institutes Of Health Research And The Population Health Intervention Research Network, Canada.]” Subjects and Themes:

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Find ERIC ED586232: Later School Start Times For Supporting The Education, Health, And Well-Being Of High School Students: A Systematic Review. Campbell Systematic Reviews 2017:15 Background: A Number Of School Systems Worldwide Have Proposed And Implemented Later School Start Times As A Means Of Avoiding The Potentially Negative Impacts That Early Morning Schedules Can Have On Adolescent Students. Even Mild Sleep Deprivation Has Been Associated With Significant Health And Educational Concerns: Increased Risk For Accidents And Injuries, Impaired Learning, Aggression, Memory Loss, Poor Self-esteem, And Changes In Metabolism. Although Researchers Have Begun To Explore The Effects Of Delayed School Start Time, No One Has Conducted A Rigorous Review Of Evidence To Determine Whether Later School Start Times Support Adolescent Health, Education, And Well-being. Objectives: We Aimed To Assess The Effects Of A Later School Start Time For Supporting Health, Education, And Well-being In High School Students. Secondary Objectives Were To Explore Possible Differential Effects Of Later School Start Times In Student Subgroups And In Different Types Of Schools; To Identify Implementation Practices, Contextual Factors, And Delivery Modes Associated With Positive And Negative Effects Of Later Start Times; And To Assess The Effects Of Later School Start Times On The Broader Community (high School Faculty And Staff, Neighborhood, And Families). Search Methods: We Conducted The Main Search For This Review On 28 October 2014 And Updated It On 8 February 2016. We Searched CENTRAL As Well As 17 Key Electronic Databases (including MEDLINE, Embase, ERIC, PsycINFO, And Sociological Abstracts), Current Editions Of Relevant Journals And Organizational Websites, Trial Registries, And Google Scholar. Selection Criteria: We Included Any Randomized Controlled Trials, Controlled Before-and-after Studies, And Interrupted Time Series Studies With Sufficient Data Points That Pertained To Students Aged 13 To 19 Years And That Compared Different School Start Times. Studies That Reported Either Primary Outcomes Of Interest (academic Outcomes, Amount Or Quality Of Sleep, Mental Health Indicators, Attendance, Or Alertness) Or Secondary Outcomes (health Behaviors, Health And Safety Indicators, Social Outcomes, Family Outcomes, School Outcomes, Or Community Outcomes) Were Eligible. Data Collection And Analysis: At Least Two Review Authors Independently Determined Inclusion And Exclusion Decisions Through Screening Titles, Abstracts, And Full-text Reports. Two Review Authors Independently Extracted Data For All Eligible Studies. We Presented Findings Through A Narrative Synthesis Across All Studies. When Two Or More Study Samples Provided Sufficient Information To Permit Effect Size Calculations, We Conducted Random-effects Meta-analyses To Synthesize Effects Across Studies. Results: Our Search Located 17 Eligible Records Reporting On 11 Unique Studies With 297,994 Participants; The Studies Examined Academic Outcomes, Amount And Quality Of Sleep, Mental Health Indicators, Attendance, And Student Alertness. Overall, The Quality Of The Body Of Evidence Was Very Low, As We Rated Most Studies As Being At High Or Unclear Risk Of Bias With Respect To Allocation, Attrition, Absence Of Randomization, And The Collection Of Baseline Data. Therefore, We Cannot Be Confident About The Effects Of Later School Start Times. Preliminary Evidence From The Included Studies Indicated A Potential Association Between Later School Start Times And Academic And Psychosocial Outcomes, But Quality And Comparability Of These Data Were Low And Often Precluded Quantitative Synthesis. Four Studies Examined The Association Between Later School Start Times And Academic Outcomes, Reporting Mixed Results. Six Studies Examined Effects On Total Amount Of Sleep And Reported Significant, Positive Relationships Between Later School Start Times And Amount Of Sleep. One Study Provided Information Concerning Mental Health Outcomes, Reporting An Association Between Decreased Depressive Symptoms And Later School Start Times. There Were Mixed Results For The Association Between Later School Start Times And Absenteeism. Three Studies Reported Mixed Results Concerning The Association Between Later School Start Times And Student Alertness. There Was Limited Indication Of Potential Adverse Effects On Logistics, As The Qualitative Portions Of One Study Reported Less Interaction Between Parents And Children, And Another Reported Staffing And Scheduling Difficulties. Because Of The Insufficient Evidence, We Cannot Draw Firm Conclusions Concerning Adverse Effects At This Time. It Is Important To Note The Limitations Of This Evidence, Especially As Randomized Controlled Trials And High-quality Primary Studies Are Difficult To Conduct; School Systems Are Often Unwilling Or Unable To Allow Researchers The Necessary Control Over Scheduling And Data Collection. Moreover, This Evidence Does Not Speak To The Process Of Implementing Later School Starts, As The Included Studies Focused On Reporting The Effects Rather Than Exploring The Process. Authors' Conclusions: This Systematic Review On Later School Start Times Suggests Several Potential Benefits For This Intervention And Points To The Need For Higher Quality Primary Studies. However, As A Result Of The Limited Evidence Base, We Could Not Determine The Effects Of Later School Start Times With Any Confidence. [Additional Funding Was Provided By: (1) Department Of Public Health Sciences, Canada; And (2) Canadian Institutes Of Health Research And The Population Health Intervention Research Network, Canada.] at online marketplaces:


12The Visual Organization : Data Visualization, Big Data, And The Quest For Better Decisions

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Background: A number of school systems worldwide have proposed and implemented later school start times as a means of avoiding the potentially negative impacts that early morning schedules can have on adolescent students. Even mild sleep deprivation has been associated with significant health and educational concerns: increased risk for accidents and injuries, impaired learning, aggression, memory loss, poor self-esteem, and changes in metabolism. Although researchers have begun to explore the effects of delayed school start time, no one has conducted a rigorous review of evidence to determine whether later school start times support adolescent health, education, and well-being. Objectives: We aimed to assess the effects of a later school start time for supporting health, education, and well-being in high school students. Secondary objectives were to explore possible differential effects of later school start times in student subgroups and in different types of schools; to identify implementation practices, contextual factors, and delivery modes associated with positive and negative effects of later start times; and to assess the effects of later school start times on the broader community (high school faculty and staff, neighborhood, and families). Search methods: We conducted the main search for this review on 28 October 2014 and updated it on 8 February 2016. We searched CENTRAL as well as 17 key electronic databases (including MEDLINE, Embase, ERIC, PsycINFO, and Sociological Abstracts), current editions of relevant journals and organizational websites, trial registries, and Google Scholar. Selection criteria: We included any randomized controlled trials, controlled before-and-after studies, and interrupted time series studies with sufficient data points that pertained to students aged 13 to 19 years and that compared different school start times. Studies that reported either primary outcomes of interest (academic outcomes, amount or quality of sleep, mental health indicators, attendance, or alertness) or secondary outcomes (health behaviors, health and safety indicators, social outcomes, family outcomes, school outcomes, or community outcomes) were eligible. Data collection and analysis: At least two review authors independently determined inclusion and exclusion decisions through screening titles, abstracts, and full-text reports. Two review authors independently extracted data for all eligible studies. We presented findings through a narrative synthesis across all studies. When two or more study samples provided sufficient information to permit effect size calculations, we conducted random-effects meta-analyses to synthesize effects across studies. Results: Our search located 17 eligible records reporting on 11 unique studies with 297,994 participants; the studies examined academic outcomes, amount and quality of sleep, mental health indicators, attendance, and student alertness. Overall, the quality of the body of evidence was very low, as we rated most studies as being at high or unclear risk of bias with respect to allocation, attrition, absence of randomization, and the collection of baseline data. Therefore, we cannot be confident about the effects of later school start times. Preliminary evidence from the included studies indicated a potential association between later school start times and academic and psychosocial outcomes, but quality and comparability of these data were low and often precluded quantitative synthesis. Four studies examined the association between later school start times and academic outcomes, reporting mixed results. Six studies examined effects on total amount of sleep and reported significant, positive relationships between later school start times and amount of sleep. One study provided information concerning mental health outcomes, reporting an association between decreased depressive symptoms and later school start times. There were mixed results for the association between later school start times and absenteeism. Three studies reported mixed results concerning the association between later school start times and student alertness. There was limited indication of potential adverse effects on logistics, as the qualitative portions of one study reported less interaction between parents and children, and another reported staffing and scheduling difficulties. Because of the insufficient evidence, we cannot draw firm conclusions concerning adverse effects at this time. It is important to note the limitations of this evidence, especially as randomized controlled trials and high-quality primary studies are difficult to conduct; school systems are often unwilling or unable to allow researchers the necessary control over scheduling and data collection. Moreover, this evidence does not speak to the process of implementing later school starts, as the included studies focused on reporting the effects rather than exploring the process. Authors' conclusions: This systematic review on later school start times suggests several potential benefits for this intervention and points to the need for higher quality primary studies. However, as a result of the limited evidence base, we could not determine the effects of later school start times with any confidence. [Additional funding was provided by: (1) Department of Public Health Sciences, Canada; and (2) Canadian Institutes of Health Research and the Population Health Intervention Research Network, Canada.]

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13Behavioural Data Science For Better Decisions - Jim Guszcza - Global Brains #2

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A mind-extending talk with Jim Guszcza, US Chief Data Scientist at Deloitte Consulting, about human behavior, cognitive biases, our unique human strengths, choice architecture and how "Nudging" in combination with algorithmic power can help us to make better decisions both from a business perspective and in our personal lives.

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14NASA Technical Reports Server (NTRS) 20120008475: NASA Earth Science Data Analysis For Climate Change Decisions

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No abstract available

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15Bioinformatics, Museums And Society: Integrating Biological Data For Knowledge-based Decisions

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No abstract available

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16Data For Decisions : Information Strategies For Policymakers

No abstract available

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17ERIC ED052501: Description And Use Of The Data Files On Military Careers. Information System For Vocational Decisions.

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This paper summarizes the contents, structure and possible uses of the Information System for Vocational Decisions (ISVD) data file on military jobs in the 3 major services. In all, 170 specific career fields for enlisted men and 34 for officers are included in the data file, which also provides for converting the inquirer's personal characteristics and preferences to a list of possibly suitable jobs within the military. In the appendices are included samples of the scripts used with the military datafile and a fairly extensive bibliography of materials which can be used in conjunction with the ISVD computer-assisted instruction program. (TL)

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18DTIC ADA185988: Human Performance Data Needed For Training Device Design Decisions.

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The goal of this project was to study the types of human perception and performance information that training device designers need in making design decisions. There were two objectives: (1) to identify the types of human performance data needed to make these decisions and (2) to make recommendations about decision support for training device designers. A total of 50 experienced designers were studied. For a subset of 42 of these designers, the interviews focused on critical design decisions where there was a need for perception/information processing data. Several types of data were collected from these interviews. One finding indicated that for the sample of critical decisions studied, systematic decision-making strategies were used in a minority of cases. A second result was the identification of frequent questions about human performance data. A third finding revealed the heavy reliance on informal experiments and analogous cases for guidance in resolving design questions, and the lesser reliance on published literature. Implications were presented for the development of Designers' Associate. Future research areas were presented, primarily with methods for helping designers to extrapolate form research data and from analogues cases.

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19DTIC ADA444185: User Feedback On RFID And Integrated Flightline Data For Maintenance Decisions

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Creating Agile Combat Support (ACS) requires real time integrated information systems to support human decision making. Real time sensing technologies are being investigated to improve logistics support. The purpose of this study was to investigate integrated Radio Frequency Identification/Real Time Location System (RFID/RTLS) technology with flightline information for improved decision making for flightline maintenance operations. A simulation was developed that integrated information related to the flightline with RFID location information (Smart Systems). A simulated field test was conducted to compare the Smart Systems integrated condition with an off-the- shelf RFID technology and a baseline condition for providing support for the fix or swap decision.

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20DTIC ADA188073: Evaluating The HCU (Health Care Unit) For Performance Monitoring And Resource Allocation Decisions Using Navy Ambulatory Care UCA (Uniform Chart Of Accounts) Expense And Workload Data.

By

In recent years, case-mix methodologies have been developed as a basic for measuring hospital performance and for identifying normative costs of providing care to homogenous groups of patients. Two notable efforts in this area that are relevant to the military have been the development of the Health Care Unit (HCU) and the work done in prior years at the Naval School of Health Sciences exploring the applicability of Diagnosis Related Groups (DRGs) to Navy hospital performance measurement. These efforts have demonstrated that incremental improvements are possible using currently available data. The work presented in this report has used the methodologies employed in these previous efforts as a foundation for exploring a means of measuring outpatient performance across all Navy medical facilities. The purpose of this study was threefold and focused on the following main objectives: 1) evaluating the validity of the HCU in measuring outpatient productivity in Navy facilities; 2) evaluating the utility of using three-digit Uniform Chart of Accounts (UCA) final account codes; and 3) exploring the ability of facility characteristic variables such as size, location, and mission to explain differences in performance across UCA reporting Navy units. Keywords: MHCS(Military Health Care System); Productivity.

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21ERIC ED591498: 2017-2018 Florida Adult Education Assessment Technical Assistance Paper This Technical Assistance Paper Provides Policy And Guidance To Individuals With Test Administration Responsibilities In Adult Education Programs. Rule 6A-6.014, Florida Administrative Code (F.A.C.), Titled, General Requirements For Adult General Education Programs, Requires All Adult Education Programs To Report All Student Measurable Educational Gains And Demographic Information To Florida's Reporting System. State Policies Outlined In This Rule Apply To The State-approved Assessments That Programs May Use To Report Educational Gains And Are In Compliance With Both The State And National Reporting System (NRS) Requirements. The NRS Is The Accountability System For The Federally Funded Adult Education Program, Mandated By The Workforce Innovation And Opportunity Act (WIOA). There Are Three Important Reasons For Creating A Data-driven Accountability System For Adult Education Programs: (1) The U.S. Department Of Education (USDOE) Requires Each State To Establish And Utilize Performance Measures For Making Continued Funding Decisions For Federal Grant Programs. Furthermore, Each State Is Expected To Institute A System For Program Monitoring And Continued Technical Assistance That Is Centered On Program Enrollment And Performance. (2) The Florida Department Of Education (FDOE) Has Enhanced Its Monitoring Processes By Instituting A Data-driven System For Determining Program Performance. (3) The FDOE Program Administrators Can Focus Attention On Establishing Program Performance Targets And Program Improvement. To Assist Programs With Student And Program Performance Reporting And Accountability, Florida's Data Reporting System And The NRS Are Uniform And Compatible For Measuring Student's Educational Gains. Progress Is Measured In Literacy Completion Points (LCPs). The Term, Literacy Completion Point, Used By The State Is Synonymous With The Federal Term Measurable Skill Gain (MSG). LCPs Are Required To Be Reported To Show Gains And Progression In Educational Functioning Levels (EFLs) For NRS. The Florida Assessment Policies And Guidelines Presented In This Technical Assessment Paper Are Appropriate For State And Federal Reporting. Therefore, Guidance And Procedures Regarding The Selection And Use Of Appropriate Student Assessment Are Included In This Technical Assistance Paper. Additionally, The Following Important Information For Adult Education Programs Is Reviewed: (1) The Definition Of Key Terms And Acronyms; (2) Selection Of Appropriate Assessments By Student And Program Type; (3) Appropriate Student Placement Into Program And Instructional Level; (3) Verification Of Student Learning Gains, Educational Functioning Level, And/or Program Completion; (4) Accommodations For Students With Disabilities And Other Special Needs; (5) Assessment Procedures For Distance Education; And (6) Training For All Staff Who Administer The Standardized Assessments. [For The 2016-2017 Version Of This Paper, See ED579162.]

By

This technical assistance paper provides policy and guidance to individuals with test administration responsibilities in adult education programs. Rule 6A-6.014, Florida Administrative Code (F.A.C.), titled, General Requirements for Adult General Education Programs, requires all adult education programs to report all student measurable educational gains and demographic information to Florida's reporting system. State policies outlined in this rule apply to the state-approved assessments that programs may use to report educational gains and are in compliance with both the state and National Reporting System (NRS) requirements. The NRS is the accountability system for the federally funded adult education program, mandated by the Workforce Innovation and Opportunity Act (WIOA). There are three important reasons for creating a data-driven accountability system for adult education programs: (1) The U.S. Department of Education (USDOE) requires each state to establish and utilize performance measures for making continued funding decisions for federal grant programs. Furthermore, each state is expected to institute a system for program monitoring and continued technical assistance that is centered on program enrollment and performance. (2) The Florida Department of Education (FDOE) has enhanced its monitoring processes by instituting a data-driven system for determining program performance. (3) The FDOE program administrators can focus attention on establishing program performance targets and program improvement. To assist programs with student and program performance reporting and accountability, Florida's data reporting system and the NRS are uniform and compatible for measuring student's educational gains. Progress is measured in Literacy Completion Points (LCPs). The term, Literacy Completion Point, used by the state is synonymous with the federal term Measurable Skill Gain (MSG). LCPs are required to be reported to show gains and progression in Educational Functioning Levels (EFLs) for NRS. The Florida assessment policies and guidelines presented in this technical assessment paper are appropriate for state and federal reporting. Therefore, guidance and procedures regarding the selection and use of appropriate student assessment are included in this technical assistance paper. Additionally, the following important information for adult education programs is reviewed: (1) The definition of key terms and acronyms; (2) Selection of appropriate assessments by student and program type; (3) Appropriate student placement into program and instructional level; (3) Verification of student learning gains, Educational Functioning Level, and/or program completion; (4) Accommodations for students with disabilities and other special needs; (5) Assessment procedures for Distance Education; and (6) Training for all staff who administer the standardized assessments. [For the 2016-2017 version of this paper, see ED579162.]

“ERIC ED591498: 2017-2018 Florida Adult Education Assessment Technical Assistance Paper This Technical Assistance Paper Provides Policy And Guidance To Individuals With Test Administration Responsibilities In Adult Education Programs. Rule 6A-6.014, Florida Administrative Code (F.A.C.), Titled, General Requirements For Adult General Education Programs, Requires All Adult Education Programs To Report All Student Measurable Educational Gains And Demographic Information To Florida's Reporting System. State Policies Outlined In This Rule Apply To The State-approved Assessments That Programs May Use To Report Educational Gains And Are In Compliance With Both The State And National Reporting System (NRS) Requirements. The NRS Is The Accountability System For The Federally Funded Adult Education Program, Mandated By The Workforce Innovation And Opportunity Act (WIOA). There Are Three Important Reasons For Creating A Data-driven Accountability System For Adult Education Programs: (1) The U.S. Department Of Education (USDOE) Requires Each State To Establish And Utilize Performance Measures For Making Continued Funding Decisions For Federal Grant Programs. Furthermore, Each State Is Expected To Institute A System For Program Monitoring And Continued Technical Assistance That Is Centered On Program Enrollment And Performance. (2) The Florida Department Of Education (FDOE) Has Enhanced Its Monitoring Processes By Instituting A Data-driven System For Determining Program Performance. (3) The FDOE Program Administrators Can Focus Attention On Establishing Program Performance Targets And Program Improvement. To Assist Programs With Student And Program Performance Reporting And Accountability, Florida's Data Reporting System And The NRS Are Uniform And Compatible For Measuring Student's Educational Gains. Progress Is Measured In Literacy Completion Points (LCPs). The Term, Literacy Completion Point, Used By The State Is Synonymous With The Federal Term Measurable Skill Gain (MSG). LCPs Are Required To Be Reported To Show Gains And Progression In Educational Functioning Levels (EFLs) For NRS. The Florida Assessment Policies And Guidelines Presented In This Technical Assessment Paper Are Appropriate For State And Federal Reporting. Therefore, Guidance And Procedures Regarding The Selection And Use Of Appropriate Student Assessment Are Included In This Technical Assistance Paper. Additionally, The Following Important Information For Adult Education Programs Is Reviewed: (1) The Definition Of Key Terms And Acronyms; (2) Selection Of Appropriate Assessments By Student And Program Type; (3) Appropriate Student Placement Into Program And Instructional Level; (3) Verification Of Student Learning Gains, Educational Functioning Level, And/or Program Completion; (4) Accommodations For Students With Disabilities And Other Special Needs; (5) Assessment Procedures For Distance Education; And (6) Training For All Staff Who Administer The Standardized Assessments. [For The 2016-2017 Version Of This Paper, See ED579162.]” Metadata:

  • Title: ➤  ERIC ED591498: 2017-2018 Florida Adult Education Assessment Technical Assistance Paper This Technical Assistance Paper Provides Policy And Guidance To Individuals With Test Administration Responsibilities In Adult Education Programs. Rule 6A-6.014, Florida Administrative Code (F.A.C.), Titled, General Requirements For Adult General Education Programs, Requires All Adult Education Programs To Report All Student Measurable Educational Gains And Demographic Information To Florida's Reporting System. State Policies Outlined In This Rule Apply To The State-approved Assessments That Programs May Use To Report Educational Gains And Are In Compliance With Both The State And National Reporting System (NRS) Requirements. The NRS Is The Accountability System For The Federally Funded Adult Education Program, Mandated By The Workforce Innovation And Opportunity Act (WIOA). There Are Three Important Reasons For Creating A Data-driven Accountability System For Adult Education Programs: (1) The U.S. Department Of Education (USDOE) Requires Each State To Establish And Utilize Performance Measures For Making Continued Funding Decisions For Federal Grant Programs. Furthermore, Each State Is Expected To Institute A System For Program Monitoring And Continued Technical Assistance That Is Centered On Program Enrollment And Performance. (2) The Florida Department Of Education (FDOE) Has Enhanced Its Monitoring Processes By Instituting A Data-driven System For Determining Program Performance. (3) The FDOE Program Administrators Can Focus Attention On Establishing Program Performance Targets And Program Improvement. To Assist Programs With Student And Program Performance Reporting And Accountability, Florida's Data Reporting System And The NRS Are Uniform And Compatible For Measuring Student's Educational Gains. Progress Is Measured In Literacy Completion Points (LCPs). The Term, Literacy Completion Point, Used By The State Is Synonymous With The Federal Term Measurable Skill Gain (MSG). LCPs Are Required To Be Reported To Show Gains And Progression In Educational Functioning Levels (EFLs) For NRS. The Florida Assessment Policies And Guidelines Presented In This Technical Assessment Paper Are Appropriate For State And Federal Reporting. Therefore, Guidance And Procedures Regarding The Selection And Use Of Appropriate Student Assessment Are Included In This Technical Assistance Paper. Additionally, The Following Important Information For Adult Education Programs Is Reviewed: (1) The Definition Of Key Terms And Acronyms; (2) Selection Of Appropriate Assessments By Student And Program Type; (3) Appropriate Student Placement Into Program And Instructional Level; (3) Verification Of Student Learning Gains, Educational Functioning Level, And/or Program Completion; (4) Accommodations For Students With Disabilities And Other Special Needs; (5) Assessment Procedures For Distance Education; And (6) Training For All Staff Who Administer The Standardized Assessments. [For The 2016-2017 Version Of This Paper, See ED579162.]
  • Author:
  • Language: English

“ERIC ED591498: 2017-2018 Florida Adult Education Assessment Technical Assistance Paper This Technical Assistance Paper Provides Policy And Guidance To Individuals With Test Administration Responsibilities In Adult Education Programs. Rule 6A-6.014, Florida Administrative Code (F.A.C.), Titled, General Requirements For Adult General Education Programs, Requires All Adult Education Programs To Report All Student Measurable Educational Gains And Demographic Information To Florida's Reporting System. State Policies Outlined In This Rule Apply To The State-approved Assessments That Programs May Use To Report Educational Gains And Are In Compliance With Both The State And National Reporting System (NRS) Requirements. The NRS Is The Accountability System For The Federally Funded Adult Education Program, Mandated By The Workforce Innovation And Opportunity Act (WIOA). There Are Three Important Reasons For Creating A Data-driven Accountability System For Adult Education Programs: (1) The U.S. Department Of Education (USDOE) Requires Each State To Establish And Utilize Performance Measures For Making Continued Funding Decisions For Federal Grant Programs. Furthermore, Each State Is Expected To Institute A System For Program Monitoring And Continued Technical Assistance That Is Centered On Program Enrollment And Performance. (2) The Florida Department Of Education (FDOE) Has Enhanced Its Monitoring Processes By Instituting A Data-driven System For Determining Program Performance. (3) The FDOE Program Administrators Can Focus Attention On Establishing Program Performance Targets And Program Improvement. To Assist Programs With Student And Program Performance Reporting And Accountability, Florida's Data Reporting System And The NRS Are Uniform And Compatible For Measuring Student's Educational Gains. Progress Is Measured In Literacy Completion Points (LCPs). The Term, Literacy Completion Point, Used By The State Is Synonymous With The Federal Term Measurable Skill Gain (MSG). LCPs Are Required To Be Reported To Show Gains And Progression In Educational Functioning Levels (EFLs) For NRS. The Florida Assessment Policies And Guidelines Presented In This Technical Assessment Paper Are Appropriate For State And Federal Reporting. Therefore, Guidance And Procedures Regarding The Selection And Use Of Appropriate Student Assessment Are Included In This Technical Assistance Paper. Additionally, The Following Important Information For Adult Education Programs Is Reviewed: (1) The Definition Of Key Terms And Acronyms; (2) Selection Of Appropriate Assessments By Student And Program Type; (3) Appropriate Student Placement Into Program And Instructional Level; (3) Verification Of Student Learning Gains, Educational Functioning Level, And/or Program Completion; (4) Accommodations For Students With Disabilities And Other Special Needs; (5) Assessment Procedures For Distance Education; And (6) Training For All Staff Who Administer The Standardized Assessments. [For The 2016-2017 Version Of This Paper, See ED579162.]” Subjects and Themes:

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22Data For Decisions : Information Strategies For Policymakers

This technical assistance paper provides policy and guidance to individuals with test administration responsibilities in adult education programs. Rule 6A-6.014, Florida Administrative Code (F.A.C.), titled, General Requirements for Adult General Education Programs, requires all adult education programs to report all student measurable educational gains and demographic information to Florida's reporting system. State policies outlined in this rule apply to the state-approved assessments that programs may use to report educational gains and are in compliance with both the state and National Reporting System (NRS) requirements. The NRS is the accountability system for the federally funded adult education program, mandated by the Workforce Innovation and Opportunity Act (WIOA). There are three important reasons for creating a data-driven accountability system for adult education programs: (1) The U.S. Department of Education (USDOE) requires each state to establish and utilize performance measures for making continued funding decisions for federal grant programs. Furthermore, each state is expected to institute a system for program monitoring and continued technical assistance that is centered on program enrollment and performance. (2) The Florida Department of Education (FDOE) has enhanced its monitoring processes by instituting a data-driven system for determining program performance. (3) The FDOE program administrators can focus attention on establishing program performance targets and program improvement. To assist programs with student and program performance reporting and accountability, Florida's data reporting system and the NRS are uniform and compatible for measuring student's educational gains. Progress is measured in Literacy Completion Points (LCPs). The term, Literacy Completion Point, used by the state is synonymous with the federal term Measurable Skill Gain (MSG). LCPs are required to be reported to show gains and progression in Educational Functioning Levels (EFLs) for NRS. The Florida assessment policies and guidelines presented in this technical assessment paper are appropriate for state and federal reporting. Therefore, guidance and procedures regarding the selection and use of appropriate student assessment are included in this technical assistance paper. Additionally, the following important information for adult education programs is reviewed: (1) The definition of key terms and acronyms; (2) Selection of appropriate assessments by student and program type; (3) Appropriate student placement into program and instructional level; (3) Verification of student learning gains, Educational Functioning Level, and/or program completion; (4) Accommodations for students with disabilities and other special needs; (5) Assessment procedures for Distance Education; and (6) Training for all staff who administer the standardized assessments. [For the 2016-2017 version of this paper, see ED579162.]

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23David Perdue - Access To Transparent, Accurate Data Is Absolutely Essential For Our Teachers, Parents, And School Officials To Make Safe Reopening Decisions. #GAsen #GApol

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Access to transparent, accurate data is absolutely essential for our teachers, parents, and school officials to make safe reopening decisions. #GAsen #GApol https://t.co/lc9w5v5GW0 Source: https://twitter.com/Perduesenate/status/1287474621852397569 Uploader: David Perdue

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24Student Solutions Manual For Moore, McCabe, Duckworth, And Sclove's The Practice Of Business Statistics: Using Data For Decisions

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Access to transparent, accurate data is absolutely essential for our teachers, parents, and school officials to make safe reopening decisions. #GAsen #GApol https://t.co/lc9w5v5GW0 Source: https://twitter.com/Perduesenate/status/1287474621852397569 Uploader: David Perdue

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25ERIC ED246824: Data And Information For Executive Decisions In Higher Education. An NCHEMS Executive Overview.

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Data and information needs of college administrators are discussed, along with the uses of information to support decisionmaking. Difficulties in applying information technology to the administration of higher education are briefly reviewed. Data and information are discussed both in definitional and functional terms. Data are defined as either quantities or codes (i.e., numbers that identify entity characteristics, such as sex or program level of students). Information consists of data that have been combined and given a form in which they convey to the recipient user some useful knowledge. Attention is directed to components of data (e.g., a reference entity, a descriptor, a quantity, or code); properties of data (e.g., validity, accuracy, and reliability); issues surrounding data (e.g., quantitative versus qualitative data); the properties of information; the kinds of information utilized by administrators; and the role that information plays in various decision processes. It is noted that information needed to support strategic decisionmaking is different from that which supports operational management. Finally, the difference between databases and information systems is distinguished, and guidelines for the development of a management database are provided. (SW)

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26Instructor's Solutions Manual [for] Statistics : Informed Decisions Using Data, Third Edition, [by] Michael Sullivan III

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Data and information needs of college administrators are discussed, along with the uses of information to support decisionmaking. Difficulties in applying information technology to the administration of higher education are briefly reviewed. Data and information are discussed both in definitional and functional terms. Data are defined as either quantities or codes (i.e., numbers that identify entity characteristics, such as sex or program level of students). Information consists of data that have been combined and given a form in which they convey to the recipient user some useful knowledge. Attention is directed to components of data (e.g., a reference entity, a descriptor, a quantity, or code); properties of data (e.g., validity, accuracy, and reliability); issues surrounding data (e.g., quantitative versus qualitative data); the properties of information; the kinds of information utilized by administrators; and the role that information plays in various decision processes. It is noted that information needed to support strategic decisionmaking is different from that which supports operational management. Finally, the difference between databases and information systems is distinguished, and guidelines for the development of a management database are provided. (SW)

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27David Perdue - Students, Teachers, Parents, And Local Officials Need Access To Accurate, Transparent Data To Make Safe Reopening Decisions. The #SCHOOLact – My Commonsense Proposal For Safe School Reopening - Does Exactly That. #GAsen #GApol

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Students, teachers, parents, and local officials need access to accurate, transparent data to make safe reopening decisions. The #SCHOOLact – my commonsense proposal for safe school reopening - does exactly that. #GAsen #GApol https://t.co/bnAS3AWyFJ Source: https://twitter.com/Perduesenate/status/1286725794677624833 Uploader: David Perdue

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28Cost Accounting : Accounting Data For Management's Decisions

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Students, teachers, parents, and local officials need access to accurate, transparent data to make safe reopening decisions. The #SCHOOLact – my commonsense proposal for safe school reopening - does exactly that. #GAsen #GApol https://t.co/bnAS3AWyFJ Source: https://twitter.com/Perduesenate/status/1286725794677624833 Uploader: David Perdue

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29ERIC ED158312: Preferences And Policy: Some Data For Policy Decisions In Children's Television Programming.

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To determine if children watch adult programs on weekday prime-time television because more suitable age-specific programming is unavailable, a study was conducted to assess children's viewing preferences using a forced-choice instrument. After a pilot study established the validity of the instrument, four popular children's programs were systematically pitted against early prime-time network programs in a questionnaire administered to 308 third and fifth grade students. The overwhelming majority of respondents indicated a preference for their favorite adult programs even when children's programs were available. When a preferred adult program was unavailable to the child, however, the relative appeal of children's programming increased markedly. The results suggest that even popular children's programs would have trouble competing for the child audience against adult programs in prime time. Further, since much weekday afternoon programming is off-network adult television, children's programming would face similar difficulties attracting an audience if scheduled during that time. (FL)

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30David Perdue - Our Parents And Teachers Must Have Access To Accurate, Transparent Data In Order To Make The Safest Reopening Decisions For Their Students. #GAsen #GApol

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Our parents and teachers must have access to accurate, transparent data in order to make the safest reopening decisions for their students. #GAsen #GApol https://t.co/cl0ABJHkeQ Source: https://twitter.com/Perduesenate/status/1290094501239848960 Uploader: David Perdue

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31#EurStatsDay Aims To Highlight The Value Of Official Statistics For Our Society: Better Data = Better Decisions ✔️ @EU_Eurostat Https://t.co/dNyvbhCk0s

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#EurStatsDay aims to highlight the value of official statistics for our society: better data = better decisions ✔️ @EU_Eurostat https://t.co/dNyvbhCk0s European Statistics Day: Better Data - Better Decisions - Better Lives For more than 60 years the statistical authorities of the Member States have been working together with Eurostat, in the European Statistical System, to produce reliable and comparable data.

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32ERIC ED297530: Implementing Data Based Decisions For Instruction: A Guide To Data-Based Decisions For Teaching Students With Learning Disabilities.

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The monograph describes various aspects of data collection, analysis and data-based decision-making for the regular or special education classroom teacher. Direct and repeated measurement of student progress and program effectiveness is advocated. Four fundamental steps are outlined: (1) identify instructional objectives and collect data on student performance; (2) display the data graphically; (3) examine the data and identify trends; and (4) use basic data decision rules to guide instructional decisions. The concept of "stages of learning" is introduced in relation to use of percent and rate data. Use of correct-to-error ratios and trials-at-criterion standards for setting performance goals is presented. Strategies for determining objectively when and how to change instruction are discussed. Instructional modification involves changing one or more of four basic program elements: general setting events, antecedent events, subsequent events, and the contingency arrangement. Finally, guidelines for implementing data-based instruction and making data-based decisions with students who are low achieving, exceptional and at-risk for dropping out are offered. (Author/DB)

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33ERIC ED151389: Potentials Of The NLS Data Base For Issue-Oriented Analyses And For Influencing Educational Policy Decisions.

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The potential of research which uses the data base from the National Longitudinal Study of the High School Class of 1972 (NLS) for affecting federal policy is discussed. Currently, social science research is rarely used as a basis for policy decisions. A reason for this is that social scientists profess interest in policy issues, yet are naive in understanding how policy decisions are formulated and in knowing how to report research so that it is politically relevant. A report prepared by the Rand Corporation sees the NLS data as having potential for four stages of policy formulation: (1) early warning of forthcoming problems, (2) issue exploration, (3) identification of specific problems, and (4) evaluation of the impacts of past policy decisions. The author suggests only two stages: the exposition or confirmation of a problem or need that was previously suspected, and the evaluation of prior policy decisions or solutions that have begun to fall into disrepute. Political sophistication and an advocate/adversary stance may be the research tools of the future for social scientists. (BW)

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34Student Solutions Manual For Moore, McCabe, Duckworth, And Sclove's The Practice Of Business Statistics: Using Data For Decisions

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The potential of research which uses the data base from the National Longitudinal Study of the High School Class of 1972 (NLS) for affecting federal policy is discussed. Currently, social science research is rarely used as a basis for policy decisions. A reason for this is that social scientists profess interest in policy issues, yet are naive in understanding how policy decisions are formulated and in knowing how to report research so that it is politically relevant. A report prepared by the Rand Corporation sees the NLS data as having potential for four stages of policy formulation: (1) early warning of forthcoming problems, (2) issue exploration, (3) identification of specific problems, and (4) evaluation of the impacts of past policy decisions. The author suggests only two stages: the exposition or confirmation of a problem or need that was previously suspected, and the evaluation of prior policy decisions or solutions that have begun to fall into disrepute. Political sophistication and an advocate/adversary stance may be the research tools of the future for social scientists. (BW)

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35Cost Accounting; Accounting Data For Management's Decisions

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The potential of research which uses the data base from the National Longitudinal Study of the High School Class of 1972 (NLS) for affecting federal policy is discussed. Currently, social science research is rarely used as a basis for policy decisions. A reason for this is that social scientists profess interest in policy issues, yet are naive in understanding how policy decisions are formulated and in knowing how to report research so that it is politically relevant. A report prepared by the Rand Corporation sees the NLS data as having potential for four stages of policy formulation: (1) early warning of forthcoming problems, (2) issue exploration, (3) identification of specific problems, and (4) evaluation of the impacts of past policy decisions. The author suggests only two stages: the exposition or confirmation of a problem or need that was previously suspected, and the evaluation of prior policy decisions or solutions that have begun to fall into disrepute. Political sophistication and an advocate/adversary stance may be the research tools of the future for social scientists. (BW)

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36The Practice Of Business Statistics: Using Data For Decisions

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The potential of research which uses the data base from the National Longitudinal Study of the High School Class of 1972 (NLS) for affecting federal policy is discussed. Currently, social science research is rarely used as a basis for policy decisions. A reason for this is that social scientists profess interest in policy issues, yet are naive in understanding how policy decisions are formulated and in knowing how to report research so that it is politically relevant. A report prepared by the Rand Corporation sees the NLS data as having potential for four stages of policy formulation: (1) early warning of forthcoming problems, (2) issue exploration, (3) identification of specific problems, and (4) evaluation of the impacts of past policy decisions. The author suggests only two stages: the exposition or confirmation of a problem or need that was previously suspected, and the evaluation of prior policy decisions or solutions that have begun to fall into disrepute. Political sophistication and an advocate/adversary stance may be the research tools of the future for social scientists. (BW)

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37ERIC ED453783: Planning For D[Cubed]T: Data-Driven Decisions About Technology. CD-ROM With Critical Issues In Evaluating The Effectiveness Of Technology.

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This booklet discusses the following critical issues in evaluating the effectiveness of technology in education: (1) The effectiveness of technology is embedded in the effectiveness of other school improvement efforts; (2) Current practices for evaluating the impact of technology in education need broadening; (3) Standardized test scores offer limited formative information with which to drive the development of a school's technology program; (4) Schools must document and report their evaluation findings in ways that satisfy diverse stakeholders' need to know; (5) In order for evaluation efforts to provide stakeholders with answers to their questions about the effectiveness of technology in education, everyone must agree on a common language and standards of practice for measuring how schools achieve that end; (6) The role of teachers is crucial in evaluating the effectiveness of technology in schools, but the burden of proof is not solely theirs; and (7) Implementing an innovation in schools can result in practice running before policy. The accompanying CD-ROM presents a three-fold approach to designing an evaluation for technology education that asks school improvement teams to think about evaluating technology from the systemic organization, teaching practice, and student learning perspectives. (MES)

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38ERIC ED396710: Developing Classroom-based Data For Technology Decisions: Assisting The Implementation Of Oswego's Vision For The Use Of Technology. District-Wide Summary Report.

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The purpose of this project was to develop data from the classroom to guide technology planning decisions as Oswego City School District (New York) implements its vision statement on technology. A survey was completed by 357 district teachers (88% response rate) which explored teachers' technology background and expertise, attitudes toward technology and instruction, instructional support and staff development requirements, and general and specific curricular priorities. An alternative model of technology planning was developed which was based on teachers' perceptions of their instructional needs. This report presents summary data and recommendations that apply across all four school levels: elementary, middle school, high school, and academy. It describes how the "Oswego Model" of technology planning was developed along with the instruments used in this model to collect classroom-based data. A summary of results are presented and organized around five general categories of items included in the survey: technology related demographics; continuing education; attitudes toward technology; instructional support; and staff development. Ten recommendations are provided focusing on these five categories. Appendices include the survey instrument with combined results and the survey instruments for the four educational levels. (AEF)

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39Cost Accounting; Accounting Data For Management's Decisions

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The purpose of this project was to develop data from the classroom to guide technology planning decisions as Oswego City School District (New York) implements its vision statement on technology. A survey was completed by 357 district teachers (88% response rate) which explored teachers' technology background and expertise, attitudes toward technology and instruction, instructional support and staff development requirements, and general and specific curricular priorities. An alternative model of technology planning was developed which was based on teachers' perceptions of their instructional needs. This report presents summary data and recommendations that apply across all four school levels: elementary, middle school, high school, and academy. It describes how the "Oswego Model" of technology planning was developed along with the instruments used in this model to collect classroom-based data. A summary of results are presented and organized around five general categories of items included in the survey: technology related demographics; continuing education; attitudes toward technology; instructional support; and staff development. Ten recommendations are provided focusing on these five categories. Appendices include the survey instrument with combined results and the survey instruments for the four educational levels. (AEF)

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40Cost Accounting : Accounting Data For Management's Decisions

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The purpose of this project was to develop data from the classroom to guide technology planning decisions as Oswego City School District (New York) implements its vision statement on technology. A survey was completed by 357 district teachers (88% response rate) which explored teachers' technology background and expertise, attitudes toward technology and instruction, instructional support and staff development requirements, and general and specific curricular priorities. An alternative model of technology planning was developed which was based on teachers' perceptions of their instructional needs. This report presents summary data and recommendations that apply across all four school levels: elementary, middle school, high school, and academy. It describes how the "Oswego Model" of technology planning was developed along with the instruments used in this model to collect classroom-based data. A summary of results are presented and organized around five general categories of items included in the survey: technology related demographics; continuing education; attitudes toward technology; instructional support; and staff development. Ten recommendations are provided focusing on these five categories. Appendices include the survey instrument with combined results and the survey instruments for the four educational levels. (AEF)

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1Data for Decisions

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“Data for Decisions” Metadata:

  • Title: Data for Decisions
  • Author:
  • Language: English
  • Number of Pages: Median: 318
  • Publisher: ➤  Abt Books - University Press of America
  • Publish Date:
  • Publish Location: Cambridge, Mass - Lanham

“Data for Decisions” Subjects and Themes:

Edition Identifiers:

Access and General Info:

  • First Year Published: 1982
  • Is Full Text Available: Yes
  • Is The Book Public: No
  • Access Status: Borrowable

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